R Notebook

Setup

wd <- "C:\\Users\\heinr\\OneDrive\\Desktop\\LARGE DATA\\LinkedIn\\Write-up"
opts_knit$set(root.dir = wd)

library(knitr)

Preview Data

Individual profile descriptions

wd <- "C:\\Users\\heinr\\OneDrive\\Desktop\\LARGE DATA\\LinkedIn\\Write-up"
opts_knit$set(root.dir = wd)

Individual descriptions are in company files… What about duplicates?

Individual employment duration by company

read.csv(file = '../company_level_individual_profiles/24-hour-fitness_person_profile_50_word_cutoff.csv')

These are in separate files divided by company

Company metadata

Everything in one file

LIWC scores

read.csv(file = 'company_level_info_with_grouped_sector.csv')

NA

I do not think I have the x files … x = individuals y = companies

Company-individual LIWC similarity scores

Again, I do not think I have the x files … x = individuals y = companies

Company LIWC scores

read.csv(file = 'LIWC_idividual_company_mapped_similarity.csv', nrows = 1000)

NA

Individual LIWC scores

Cant find the individual files Why are these in three dfs? Size?

Merged emplyment duration and distance metrics

Probably makes sense to split indices … Are person ids really unique?